Noninvasive and Individual-Centered Monitoring of Uric Acid for Precaution of Hyperuricemia via Optical Supramolecular Sensing.
Yaping ZhangHuijuan YuShiwei ChaiXin ChaiLuyao WangWen-Chao GengJuan-Juan LiYu-Xin YueDong-Sheng GuoYuefei WangPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Characterized by an excessively increased uric acid (UA) level in serum, hyperuricemia induces gout and also poses a great threat to renal and cardiovascular systems. It is urgent and meaningful to perform early warning by noninvasive diagnosis, thus conducing to blockage of disease aggravation. Here, guanidinocalix[5]arene (GC5A) is successfully identified from the self-built macrocyclic library to specifically monitor UA from urine by the indicator displacement assay. UA is strongly bound to GC5A at micromolar-level, while simultaneously excluding fluorescein (Fl) from the GC5A·Fl complex in the "switch-on" mode. This method successfully differentiates patients with hyperuricemia from volunteers except for those with kidney dysfunction and targets a volunteer at high risk of hyperuricemia. In order to meet the trend from hospital-centered to individual-centered testing, visual detection of UA is studied through a smartphone equipped with a color-scanning feature, whose adaptability and feasibility are demonstrated in sensing UA from authentic urine, leading to a promising method in family-centered healthcare style. A high-throughput and visual detection method is provided here for alarming hyperuricemic by noninvasive diagnosis.
Keyphrases
- uric acid
- metabolic syndrome
- high throughput
- healthcare
- high resolution
- loop mediated isothermal amplification
- gas chromatography
- real time pcr
- machine learning
- label free
- oxidative stress
- deep learning
- single cell
- high speed
- health information
- adverse drug
- simultaneous determination
- drug induced
- sensitive detection
- social media